Cardiac biomarkers and left ventricular hypertrophy in relation to outcomes in patients with atrial fibrillation: Experiences from the RE-LY trial
Bibliographic record
Abstract
Background Cardiac biomarkers and left ventricular hypertrophy (LVH) are related to the risk of stroke and death in patients with atrial fibrillation. We investigated the interrelationship between LVH and cardiac biomarkers and their independent associations with outcomes. Methods and Results Plasma samples were obtained at baseline in 5275 patients with atrial fibrillation in the RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial. NT-proBNP (N-terminal pro-B-type natriuretic peptide), cardiac troponin I and T, and growth differentiation factor-15 were determined using high-sensitivity (hs) assays. LVH was defined by ECG. Cox models were adjusted for baseline characteristics, LVH, and biomarkers. LVHwas present in 1257 patients. During a median follow-up of 2.0 years, 165 patients developed a stroke and 370 died. LVHwas significantly (P<0.0001) associated with higher levels of all biomarkers in linear regression analyses adjusting for baseline characteristics. Geometric mean ratios (95% CIs) were as follows: NT-proBNP, 1.32 (1.25-1.38); hs cardiac troponin I, 1.67 (1.57-1.78); hs troponin T, 1.38 (1.32-1.44); and growth differentiation factor-15, 1.09 (1.05-1.12). For stroke, the hazard ratios (95% CIs) per 50% increase were as follows: NT-proBNP, 1.09 (1.00-1.19); hs cardiac troponin I, 1.09 (1.03-1.15); hs troponin T, 1.14 (1.06-1.24); and growth differentiation factor-15, 1.22 (1.08-1.38) (all P<0.05). For death, hazard ratios (95% CIs) were as follows: NT-proBNP, 1.24 (1.17-1.31); hs cardiac troponin I, 1.13 (1.10-1.17); hs troponin T, 1.28 (1.23-1.34); and growth differentiation factor-15, 1.31 (1.22-1.42) (all P<0.0001). LVH was not significantly associated with stroke or death after adjustment for biomarkers. Conclusions Cardiac biomarkers are significantly associated with LVH. The prognostic value of biomarkers for stroke and death is not affected by LVH. The prognostic information of LVH is attenuated in the presence of cardiac biomarkers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".